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Stochastic modeling of Naval Unmanned Aerial Vehicle mishaps : assessment of potential intervention strategies

Published September 1, 1999

"September 1999"

Thesis advisor(s): John K. Schmidt, Lyn R. Whitaker

Thesis (M.S. in Operations Research) Naval Postgraduate School, September 1999

Includes bibliographical references (p. 97-99)

The employment of unmanned aerial vehicles (UAVs) in combat operations has demonstrated that UAVs can effectively provide surveillance, reconnaissance, and target acquisition support in place of manned aircraft. However, the Pioneer UAV, currently employed by the U.S. Navy and Marine Corps, has an unacceptable mishap rate. Half of the UAV mishaps are attributable in part to human factors causes. This points to a requirement for developing tailored intervention strategies. This study develops a stochastic simulation model of UAV mishaps to be used for the evaluation of human factor initiatives in terms of budgetary cost and mission readiness. It determines that electro- mechanically caused mishaps cost approximately the same as human factors mishaps. However, in comparison, human factors mishaps degrade mission readiness significantly. Intervention strategies need to address unsafe acts by the operator, unsafe conditions for flight operations, and unsafe supervision. The study recommends the following intervention measures: the use of system simulators; the implementation of improved aircrew coordination training; and the stabilization of personnel assignments

Mode of access: World Wide Web

System requirements: Adobe Acrobat reader

US Marine Corps (USMC) author

dk/dk cc:9116 02/09/00

Publisher Monterey, California: Naval Postgraduate School;Springfield, Va.: Available from National Technical Information Service
Pages 136
Language en_US
Call number o640940039
Digitizing sponsor Naval Postgraduate School, Dudley Knox Library
Book contributor Naval Postgraduate School, Dudley Knox Library
Collection navalpostgraduateschoollibrary; fedlink; americana

Full catalog record MARCXML

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